Our Professional Program in Data Science course will introduce you to the basics of R programming. You can better retain R when you learn it to solve a specific problem, so you’ll use a real-world dataset about crime in the United States. You will learn the R skills needed to answer essential questions about differences in crime across the different states.
Who should take this course
Programmers & Data scientists
Basic programming knowledge
R Studio walkthrough Download Resources Datatypes Data Structures Create group of elements in a vector Use repetitions and sequence to create a vector fast Random numbers, rounding and sampling Formatting numbers Approaches to filtering data Revenue impact of Ad-campaign Set Operations Checking existence Nested if-else Writing smarter For loops Memory pre-allocation tactics Working with lubridate and anytime Introduction to lists Named list, unlist and more Creating Dataframe Visual editing Various dataframe operations R datasets, packages and public datasets Conditional filtering and missing values Grouping and case problem solution Debugging techniques Error handling Steps involved in significance tests ANOVA - R demo
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